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"Ideal Body Weight"

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"Ideal Body Weight"

Original Articles
The Impact of Weight Changes on Nonalcoholic Fatty Liver Disease in Adult Men with Normal Weight
Ji-Young Cho, Tae-Heum Chung, Kyoung-Mo Lim, Hee-Jin Park, Jung-Mi Jang
Korean J Fam Med 2014;35(5):243-250.   Published online September 24, 2014
DOI: https://doi.org/10.4082/kjfm.2014.35.5.243
Background

Although it is known that losing weight has an effect on the treatment of non-alcoholic fatty liver disease, the studies that show how losing weight affects the non-alcoholic fatty liver disease for the normal weight male adults are limited so far. In this study, we set body mass index as criteria and investigated how the weight changes for 4 years makes an impact on the risk of non-alcoholic fatty liver disease for the male adults who have the normal body mass index.

Methods

From January to December of 2004, among the normal weight male adults who had general check-up at the Health Promotion Center of Ulsan University Hospital, 180 people (average age, 47.4 ± 4.61 years) who were diagnosed with fatty liver through abdominal ultrasonography were included in this study and were observed according to the variety of data and ultrasonography after 4 years (2008). People who had a history of drinking more than 140 g of alcohol per week or who had a past medical history were excluded from the analysis. The weight change of subjects was calculated using the formula 'weight change = weight of 2008 (kg) - weight of 2004 (kg)' and classified into three groups, loss group (≤-3.0 kg), stable group (-2.9 to 2.9 kg), and gain group (≥3.0 kg). The odds for disappearance of non-alcoholic fatty liver disease in those three different groups were compared.

Results

Among 180 subjects, compared with stable group (67.2%, 121 subjects), loss group (11.7%, 21 subjects) showed 18.37-fold increase in the odds of disappearance of non-alcoholic fatty liver disease (95% confidence interval [CI], 4.34 to 77.80) and gain group (21.1%, 38 subjects) showed 0.28-fold decrease in the odds of disappearance of non-alcoholic fatty liver disease (95% CI, 0.10 to 0.83).

Conclusion

Even for the normal weight people, losing weight has an effect on the improvement of non-alcoholic fatty liver disease.

Citations

Citations to this article as recorded by  
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    International Journal of Molecular Sciences.2025; 26(20): 10050.     CrossRef
  • Comparative Burden of Metabolic Dysfunction in Lean NAFLD vs Non-lean NAFLD - A Systematic Review and Meta-analysis
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    Experimental and Clinical Gastroenterology.2023; (8): 171.     CrossRef
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    Journal of Natural Remedies.2023; : 879.     CrossRef
  • Joint effect of changes in physical activity and weight on incident non-alcoholic fatty liver disease
    Yi-Lin Tsai, Sean Chun-Chang Chen
    Journal of Epidemiology and Community Health.2021; 75(12): 1215.     CrossRef
  • Natural history of NASH and HCC
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    Liver International.2020; 40(S1): 72.     CrossRef
  • Global prevalence, incidence, and outcomes of non-obese or lean non-alcoholic fatty liver disease: a systematic review and meta-analysis
    Qing Ye, Biyao Zou, Yee Hui Yeo, Jie Li, Daniel Q Huang, Yuankai Wu, Hongli Yang, Chuanli Liu, Leslie Y Kam, Xiang Xuan Eunice Tan, Nicholas Chien, Sam Trinh, Linda Henry, Christopher Donald Stave, Tetsuya Hosaka, Ramsey C Cheung, Mindie H Nguyen
    The Lancet Gastroenterology & Hepatology.2020; 5(8): 739.     CrossRef
  • Real-world comorbidities and treatment patterns among patients with non-alcoholic fatty liver disease receiving phosphatidylcholine as adjunctive therapy in Russia
    Igor V Maev, Aleksey A Samsonov, Liudmila K Palgova, Chavdar S Pavlov, Elena Shirokova, Kirill M Starostin
    BMJ Open Gastroenterology.2019; 6(1): e000307.     CrossRef
  • Non-viral liver diseases: pathogenetic approaches to therapy
    M. A. Osadchuk, E. D. Mironova
    Medical alphabet.2019; 3(20): 30.     CrossRef
  • Asia–Pacific Working Party on Non‐alcoholic Fatty Liver Disease guidelines 2017—Part 1: Definition, risk factors and assessment
    Vincent Wai‐Sun Wong, Wah‐Kheong Chan, Shiv Chitturi, Yogesh Chawla, Yock Young Dan, Ajay Duseja, Jiangao Fan, Khean‐Lee Goh, Masahide Hamaguchi, Etsuko Hashimoto, Seung Up Kim, Laurentius Adrianto Lesmana, Yu‐Cheng Lin, Chun‐Jen Liu, Yen‐Hsuan Ni, Jose S
    Journal of Gastroenterology and Hepatology.2018; 33(1): 70.     CrossRef
  • Non-alcoholic fatty liver disease: An expanded review
    Mark Benedict, Xuchen Zhang
    World Journal of Hepatology.2017; 9(16): 715.     CrossRef
  • Application of Computer-Aided Diagnosis for the Differential Diagnosis of Fatty Liver in Computed Tomography Image
    Hyong-Hu Park, Jin-Soo Lee
    Journal of the Korean Society of Radiology.2016; 10(6): 443.     CrossRef
  • Role of diet on non-alcoholic fatty liver disease: An updated narrative review
    Dimitrios Papandreou
    World Journal of Hepatology.2015; 7(3): 575.     CrossRef
  • Health Benefits of Long-Term Weight-Loss Maintenance
    Christian F. Rueda-Clausen, Ayodele A. Ogunleye, Arya M. Sharma
    Annual Review of Nutrition.2015; 35(1): 475.     CrossRef
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Comparative consistency between obesity determination standards using Body Mass Index and Ideal body weight.
Tong Ryung Jung, Seung Wook Hwang, Jung Un Lee, Mi Ja Cho, Yeol Kim, Tai Woo Yoo
J Korean Acad Fam Med 2001;22(12):1765-1771.   Published online December 1, 2001
Background
: Ideal Body Weight(IBW) is commonly used to determine obesity levels because of its usefulness as target weight. This study was attempted to evaluate the comparative consistency between standards of determining obesity levels using the BMI and IBW. And the authors here provide a definition of IBW and attempt to suggest a new classification of obesity by IBW.

Methods : The test subjects for the research were 24,816 patients who received treatment at the such Health Promotion Center between May 1, 1996 and December 31, 1999. The comparative consistency between standards of determining obesity levels using the BMI and IBW were analyzed calculating the kappa value.

Results : The IBW from the Broca methods produced a kappa value of 0.668(p<0.001), while the calculation method for IBW recommended by the Japan Obesity Institute produced a kappa value of 0.664(p<0.001). On the other hand, an IBW calculated as 21(kg/m2)X[height(m)]2 (kg) produced the highest value of consistency at a kappa value of 0.911(p<0.001). After calculating IBW as 21(kg/m2)X[height(m)]2 (kg) and comparing the kappa values while adjusting the boundary zone standards, it was found that defining underweight as below 88% IBW and obesity as above 145% produced the highest value of concurrence at a kappa value of 0.935(p<0.001).

Conclusion : The validity and confidence with respect to the definition of IBW and the determination method for obesity as proposed by the authors may be confirmed through the methods high level of consistency [kappa value = 0.935(p<0.001)] with determination methods using the BMI.
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